Progress - Sprint 48

Done:

• Fixed FFT and SNR differences
• Custom scaled loss function
• Custom output activation function for f_min (also tried for score, but doesn't work very well → sample weights?)

In progress

• Pass updated predictions to Mike for usability test (especially in terms of f_min)

Todo

• Gridsearch
• Validation

• de-skew?
  
  

Progress - Sprint 47

Done:

• Active learning iteration f_min based

• Custom output act function (+ sample weights) – (to discuss)
• custom loss function
• Added "bad" f_min records back in
• SNR scaling
• CNN for SNR input

In progress

• Pass updated predictions to Mike

Todo:

• Gridsearch
• Validation

• de-skew?

• f_min improvements (increase frequency range of SNR values)

Progress - Sprint 46

Done:

• Feature updates x2
• Re-ran feature extraction for updated features
• Switched to record based multi-output NN
• Fixed non-convergence issue

In progress

• Active Learning – about to pass Mike first set of new record ids to label (score-based)

• Active learning iteration f_min based

Todo:

• Gridsearch
• Validation
• de-skew?
• sample weighting?
• custom loss function?

Progress - Sprint 45

Done:

• Existing functionality
• Feature extraction for the full set of records
  • Solved multiple record issues & investigated differences between new & Xavier's dataset

In Progress

• Active learning workflow
• Extracting features per component (instead of geo mean)

Todo:

• Gridsearch
• de-skew?
• Validation workflow

Progress - Sprint 44

Done:

• Re-implementation of existing functionality
  
  • Feature extraction (Some issues, see below)
  • Run Canterbury and Canterbury-Wellington from feature csv and records

In Progress:

• Data issues
• Exploratory work and initial gauge initial subduction performance
  • Looked at deskew vs no-deskew
  • Only use best records vs all records (with and without weighting)
  • Train model on all shallow and see how it does on subduction --baseline

Future:

• Compare trained with original on full validation dataset
• Improved validation workflow
• Gridsearch
• Active learning for subduction

Data issues:

• Some records have no buffer start date, only event start date, so should still be able to use these (currently throws an error)
• Some records in the GMR.csv from Xavier are weird, not meeting x-axis crossing condition
• malloc error, no idea?
• 3744 records instead of 3989